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data engineering · healthcare claims auditing

Data Scientist

IN · HybridPosted 1 month ago
Machine learningMid-level
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Job Info

  • Job Identification12288
  • Posting Date06/08/2026, 09:01 AM
  • Job RoleProduct Development-Product Development
  • Experience (In Years)3-6

Job Description

  • Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP).
  • Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems.
  • Experience with GenAI/ LLM tools (3-6 years practitioner in data science): LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques ()
  • Experience in building FastAPI-based services and Dockerized deployments
  • Experience building production-grade GenAI solutions
  • Familiarity with:
  • Multi-agent architectures and orchestration
  • Exposure to enterprise analytics / BI tools:
  • Power BI, Tableau, or other visualization tools
  • Experience collaborating with UI/UX teams for AI-driven solution delivery

Responsibilities

  • Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP).
  • Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems.
  • Experience with GenAL/ LLM tools: LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques
  • Experience in building FastAPI-based services and Dockerized deployments
  • Experience building production-grade GenAI solutions
  • Familiarity with:
  • Multi-agent architectures and orchestration
  • Exposure to enterprise analytics / BI tools:
  • Power BI, Tableau, or other visualization tools
  • Experience collaborating with UI/UX teams for AI-driven solution delivery

Qualifications

  • Strong understanding of AI system evaluation, GenAI pipeline, AI application monitoring, and guardrails
  • B.Tech / B.E. (Preferably from Tier-1 institutes)

Required Skills

  • Agent Deployment
  • Artificial Intelligence
  • Communication Skills
  • Data Pipeline Architecture
  • Data Science
  • Interpersonal Relationship Building
  • LLM Agents
  • Programming Data Science
  • Team Collaboration
  • Technical Documentation
  • Working under Pressure

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